Distributed rational decision making
Multiagent systems
Iterative combinatorial auctions: achieving economic and computational efficiency
Iterative combinatorial auctions: achieving economic and computational efficiency
Combinatorial Auctions
A Novel Auction Mechanism for Selling Time-Sensitive E-Services
CEC '05 Proceedings of the Seventh IEEE International Conference on E-Commerce Technology
Dynamic Configurable Auctions for Coordinating Industrial Waste Discharges
MATES '07 Proceedings of the 5th German conference on Multiagent System Technologies
Auction Mechanisms for Efficient Advertisement Selection on Public Displays
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Fair Mechanisms for Recurrent Multi Unit Combinatorial Auctions
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Fair Mechanisms for Recurrent Multi Unit Combinatorial Auctions
Proceedings of the 2010 conference on STAIRS 2010: Proceedings of the Fifth Starting AI Researchers' Symposium
Fairness In Recurrent Auctions With Competing Markets And Supply Fluctuations
Computational Intelligence
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Auctions are a good tool for dealing with resource allocation in multi-agent environments. When the resources are either renewable or perishable, a repeated auction mechanism is needed, in what is known as recurrent auctions. However, several problems arise with this kind of auction, namely, the resource waste problem, the bidder drop problem, and the asymmetric balance of negotiation power. In this paper we present different mechanisms to deal with these issues. We have evaluated the mechanisms in a network bandwidth allocation scenario, and the results show that the proposed mechanisms achieve higher benefits for the auctioneer, while also providing a fairer behavior.